pROC: an open-source package for R and S+ to analyze and compare ROC curves

BACKGROUND: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis...

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Detalles Bibliográficos
Autores principales: Robin, Xavier, Turck, Natacha, Hainard, Alexandre, Tiberti, Natalia, Lisacek, Frédérique, Sanchez, Jean-Charles, Müller, Markus
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068975/
https://www.ncbi.nlm.nih.gov/pubmed/21414208
http://dx.doi.org/10.1186/1471-2105-12-77

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068975/
https://www.ncbi.nlm.nih.gov/pubmed/21414208
http://dx.doi.org/10.1186/1471-2105-12-77

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